Using clinical knowledge to improve AI analysis of breast images
SCH: Leverage clinical knowledge to augment deep learning analysis of breast images
This study is working on using advanced computer technology to help doctors get better at diagnosing breast cancer and figuring out a person's risk, so that patients can have more accurate screenings and tailored care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-10862635 on NIH RePORTER |
What this research studies
This research aims to enhance the accuracy of breast cancer diagnosis and risk assessment by integrating clinical knowledge with advanced artificial intelligence (AI) techniques. The project focuses on developing new deep learning models that utilize both imaging data and clinical insights to improve detection and prediction of breast cancer. By employing innovative methodologies, the research seeks to address challenges associated with small datasets and enhance the reliability of AI in clinical settings. Patients may benefit from more accurate screenings and personalized risk assessments as a result of this work.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals undergoing breast cancer screening or those at risk for breast cancer.
Not a fit: Patients who have already been diagnosed with advanced breast cancer may not benefit directly from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate breast cancer screenings and improved risk assessment tools for patients.
How similar studies have performed: Other research has shown promise in using AI for medical imaging, but this approach of combining clinical knowledge with deep learning is relatively novel.
Where this research is happening
Pittsburgh, United States
- University of Pittsburgh at Pittsburgh — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Wu, Shandong — University of Pittsburgh at Pittsburgh
- Study coordinator: Wu, Shandong
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.